• Journal of Life Science
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• v.17 no.10
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• pp.1400-1405
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• 2007

The effect of supplementation with docosahexaenoic acid into n-3 fatty acid deficient diet on improvement of loaming related brain function was investigated. On the second day after conception, Sprague Dawley strain dams were subjected to a diet containing either n-3 fatty acid deficient (Def) or n-3 fatty acid deficient + docosahexaenoic acid (Def+DHA). After weaning, male pups were fed on the same diet of their respective dams until adulthood. Motor activity and Morris water maze tests were measured at 10 weeks old. In motor activity test, there were no statistically significant differences in moving time and moving distance between the Def and Def+DHA diet groups. The n-3 fatty acid deficient with DHA (Def+DHA) group exhibited a shorter escape latency, swimming time and swimming distance (P<0.05) compared to the n-3 fatty acid deficient group (Def) but there was no difference in resting time and swimming speed between the experimental diet groups. In memory retention trial, the number of crossing of the platform position (region A) was significantly greater than those of other regions for the Def+DHA group. However, the Def group swam randomly without preference for the provisions platform location, indicating poorer memory retention. From those results, supplementation with DHA into the n-3 fatty acid deficient diet improved the spatial loaming ability in rats as assessed by Morris water maze test.

• Journal of KIISE:Computing Practices and Letters
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• v.8 no.3
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• pp.344-355
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• 2002

Having a variety of good characteristics against other pattern recognition techniques, Multilayer Perceptron (MLP) has been used in wide applications. But, it is known that Error Backpropagation (EBP) algorithm which MLP uses in learning has a defect that requires relatively long leaning time. Because learning data in pattern recognition contain abundant redundancies, in order to increase learning speed it is very effective to use online-based teaming methods, which update parameters of MLP pattern by pattern. Typical online EBP algorithm applies fixed learning rate for each update of parameters. Though a large amount of speedup with online EBP can be obtained by choosing an appropriate fixed rate, fixing the rate leads to the problem that the algorithm cannot respond effectively to different leaning phases as the phases change and the learning pattern areas vary. To solve this problem, this paper defines learning as three phases and proposes a Instant Learning by Varying Rate and Skipping (ILVRS) method to reflect only necessary patterns when learning phases change. The basic concept of ILVRS is as follows. To discriminate and use necessary patterns which change as learning proceeds, (1) ILVRS uses a variable learning rate which is an error calculated from each pattern and is suppressed within a proper range, and (2) ILVRS bypasses unnecessary patterns in loaming phases. In this paper, an experimentation is conducted for speaker verification as an application of pattern recognition, and the results are presented to verify the performance of ILVRS.

• School Mathematics
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• v.11 no.3
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• pp.431-462
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• 2009

Introduction of logarithm in mathematics textbook in the 7th national curriculum of mathematics is the inverse of exponent. This introduction is happened that students don't know the necessity for learning logarithm and the meaning of logarithm. Students also have solved many problems of logarithm by rote. Therefore, we try to present teaching unit for the logarithm according to the historico-genetic principle. We developed the learning-teaching module of unit for the logarithm according to historico-genetic principle, especially reinvention for real contexts based RME. Loaming-teaching module is carried out as the performance assessment. As a results, We find out that this module helps students understand concepts of logarithm meaningfully Also, mathematical errors of logarithm is revised after the application of learning-teaching module.

• Journal of Science and Technology Studies
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• v.2 no.2 s.4
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• pp.91-122
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• 2002

Constructivism has had a great influence on science education over the last two decades. The purpose of this article is twofold: First, to describe the characteristics of constructivism and, second, to suggest an ideal forms of science education in Korea as implied in constructivism. A review of the literature in the first area shows that constructivism is the philosophical/ psychological view which believes in the social nature of the construction of scientific knowledge and its learning. And the analyses of a few schools of constructivism suggests decision-making as a goal of science education, loaming as the active construction of meaning through interaction between learner and learning environments, and discussion and cooperation as appropriate teaching strategies. At the same time, the results necessitate teaching ethical aspects of science in the secondary schools, and also imply that performance assessment must be emphasized in evaluation of science education.

• Journal of KIISE:Software and Applications
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• v.31 no.3
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• pp.369-378
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• 2004

In partially free word order languages like Korean and Japanese, the rule-based method is effective for text chunking, and shows the performance as high as machine learning methods even with a few rules due to the well-developed overt Postpositions and endings. However, it has no ability to handle the exceptions of the rules. Exception handling is an important work in natural language processing, and the exceptions can be efficiently processed in memory-based teaming. In this paper, we propose a hybrid of rule-based method and memory-based learning for Korean text chunking. The proposed method is primarily based on the rules, and then the chunks estimated by the rules are verified by memory-based classifier. An evaluation of the proposed method on Korean STEP 2000 corpus yields the improvement in F-score over the rules or various machine teaming methods alone. The final F-score is 94.19, while those of the rules and SVMs, the best machine learning method for this task, are just 91.87 and 92.54 respectively.

• Archives of design research
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• v.16 no.4
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• pp.443-452
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• 2003

This study is to find out the possibility of applying the Blended Learning which combines the advantage of face-to-face classroom instruction and e-Learning to design education. This Blended Loaming Model has five steps such as 'prepare, teach, show, interact, and collaborate'. It is designed by the learning decision points (performance outcomes, content stability and structure, audience size, and so on) and the characteristics of delivery methods(asynchronous, synchronous). This research is based on the learners' satisfaction data of each step. The number of the participants is 27 and a questionnaire with 21 items is administered. Ten items of them are designed with 5-point Likert scales and the rest of them ask learners describe the reason of their selection. The result show that learners are satisfied with the blended learning than the off-line classroom. It is expected that the blended learning can be a substitute of the off-line classroom for the effectiveness of design education.

• The KIPS Transactions:PartB
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• v.11B no.4
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• pp.485-490
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• 2004

In data representation, the clustering performs a grouping process which combines given data into some similar clusters. The various similarity measures have been used in many researches. But, the validity of clustering results is subjective and ambiguous, because of difficulty and shortage about objective criterion of clustering. The fuzzy clustering provides a good method for subjective clustering problems. It performs clustering through the similarity matrix which has fuzzy membership value for assigning each object. In this paper, for objective fuzzy clustering, the clustering algorithm which joins principal components analysis as a dimension reduction model with bayesian learning as a statistical learning theory. For performance evaluation of proposed algorithm, Iris and Glass identification data from UCI Machine Learning repository are used. The experimental results shows a happy outcome of proposed model.

• The KIPS Transactions:PartC
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• v.12C no.5 s.101
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• pp.757-764
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• 2005

With the increasing service Qualify and security in the Mobile Internet Diameter technology based on the AAAv6 is being used in the user authentication. But there are some Problems on the authentication Procedures of the Diameter in which the security falls down from a loaming service or Internet transmission course. We combine it with the cipher algorithm like EAP-MD5 and accomplish a user authentication processing. If we want to supply the user authentication with the mobility among domains by AAAv6-based Diameter, we need the efficient capacity allocation among AAA attendent, AAAv, AhAb, AAAh, HA servers in the AAAv6. Therefore in this paper, we propose to make the authentication capacity index to carry out user authentication ability by analyzing an EAP-MD5S server capacity model of AAAv6 authentication models for users with mobility among domains, and to find the optimized condition for the AAAv6 capacity by the index.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.21 no.7
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• pp.103-108
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• 2007

Neural network is used in many fields of control systems currently. However, It is not easy to obtain input-output pattern when neural network is used for the system of a single feedback controller and it is difficult to get satisfied performance with neural network when load changes rapidly or disturbance is applied. To resolve these problems, this paper proposes a new mode to implement a neural network controller by installing a real object in place of activation function of Neural Network output node. As the Neural Network self adaptive control system is designed in simple structure neural network input-output pattern problem is solved naturally and real tin Loaming becomes possible through general back propagation algorithm. The effect of the proposed Neural Network self adaptive control algorithm was verified in a test of controlling the speed of a A.C. servo motor equipped with a high speed computing capable DSP (TMS320C32) on which the proposed algorithm was loaded.

• Journal of Korea Multimedia Society
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• v.4 no.5
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• pp.446-454
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• 2001

A long-distance education method using the computational environment has been developed and implemented for quite some time. However, there has been some difficulty in the simulation of face-to-face instruction due to limitations in performance of the computers and the networks. Continued development of multimedia technologies has now made it possible to simulate face-to-face instruction, recording the teachers' instructions in the form of a screen dump. In this paper, we propose a system that allows the teacher to make loaming materials available on the Web using Window Media Technology(WMT). This technology also allows remote site users to view the contents at their convenience. A media encoder acquires the lessons and stores them as moving pictures. The lessons are displayed on the screen as the teacher explains them. The learning materials are stored in a Windows media file format, the file is stored on a lecture server and provided to the user using a streaming method in real time. The users can view the contents on the Web without requiring a special player. The proposed system consists of a lecture writer module, a lecture server module and a lecture client module.